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Habitat assessments at EU biogeographical level

The Article 17 web tool provides an access to EU biogeographical and Member States’ assessments of conservation status of the habitat types and species of Community interest compiled as part of the Habitats Directive - Article 17 reporting process. These assessments have been carried out in EU25 for the period 2001-2006, in EU 27 for the period 2007-2012 and in EU28 for the period 2013-2018.

Choose a period, a group, then a habitat type belonging to that group.
Optionally, further refine your query by selecting one of the available biogeographical regions for that habitat type.
Once a selection has been made the conservation status can be visualised in a map view.

The ‘Data sheet info’ includes notes for each regional and overall assessment per habitat.

The ‘Audit trail’ includes the methods used for the EU biogeographical assessments and justifications for decisions made by the assessors.

Note: Rows in italic shows data not taken into account when performing the assessments (marginal presence, occasional, extinct prior HD, information, etc)

Legend
FV
Favourable
XX
Unknown
U1
Unfavourable-Inadequate
U2
Unfavourable-Bad
Current selection: 2013-2018, Coastal habitats, 1310 Salicornia and other annuals colonizing mud and sand, All bioregions. Show all Coastal habitats
Member States reports
MS Region Range (km2) Area (km2) Structure and functions (km2) Future prospects Overall assessment Distribution area(km2)
Surface Status
(% MS)
Trend FRR Min Max Best value Type est. Method Status
(% MS)
Trend FRA
Area in good condition (km2)
Good
(adjusted mean value)
Not good
(adjusted mean value)
Not Known
(adjusted mean value)
0.21 N/A 0.50
23.21 3.62 N/A
4.37 0.81 N/A
0.56 0.04 0.60
131.50 7 0.50
1.04 0.12 N/A
21 2 2
N/A N/A N/A
11.96 6.41 2.16
N/A N/A 1.70
600 100 25
3 N/A N/A
0.06 0.13 N/A
2.50 2.50 N/A
N/A N/A 0.11
0.63 0.03 0.61
9.37 0.01 N/A
0.07 0.06 0.07
9.98 4.45 0.25
0 0 N/A
250 50 25
1.25 1.25 N/A
0.60 N/A N/A
1.52 1.14 N/A
36.94 6.81 12.79
N/A N/A 9.50
62.42 N/A 6.94
1.73 N/A 0.61
43.26 0.64 2.74
0.01 0 N/A
N/A N/A N/A
450 125 25
Good
Not good Not known Status Trend Range
prosp.
Area
prosp.
S & f
prosp.
Status Curr. CS Curr. CS
trend
Prev. CS Prev. CS
trend
Status
Nat.
of ch.
CS trend
Nat. of ch.
Distrib. Method % MS
BE ATL 2200 2.45 = > 0.71 0.71 0.71 estimate a 0.32 = >> 0.21 - 0.21 N/A - N/A 0.50 - 0.50 XX x good poor good U1 U2 x U2 = noChange method 1200 a 1.66
DE ATL 9469 10.56 = 9469 24.71 28.97 26.84 estimate a 12.21 = 22.13 - 24.30 2.54 - 4.71 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 7600 b 10.50
DK ATL 4390 4.90 = N/A N/A 5.18 estimate b 2.36 u >> 4.37 - 4.37 0.81 - 0.81 N/A - N/A U1 x good bad poor U2 U2 x U2 x N/A N/A 1400 b 1.93
ES ATL 6000 6.69 = N/A N/A 1.38 minimum b 0.63 - x 0.54 - 0.58 0.04 - 0.04 0.40 - 0.80 U1 - good poor unk U1 U1 - XX N/A knowledge knowledge 6000 b 8.29
FR ATL 17000 18.96 = N/A N/A 139 minimum d 63.23 x x 131.50 - 131.50 7 - 7 0.50 - 0.50 XX x good poor unk U1 U1 x U1 = noInfo noInfo 17300 a 23.90
IE ATL 15200 16.96 = 15200 N/A N/A 1.16 minimum a 0.53 = 1.04 - 1.04 0.12 - 0.12 N/A - N/A FV = good good good FV FV = U1 - method knowledge 10000 a 13.81
NL ATL 6700 7.47 = N/A N/A 25 estimate a 11.37 + 21 - 21 2 - 2 2 - 2 FV = good poor good U1 U1 + U1 = noChange genuine 5800 a 8.01
PT ATL 600 0.67 = N/A N/A N/A d 0 - N/A - N/A N/A - N/A N/A - N/A FV = good poor good U1 U1 - U1 - noChange noChange 500 c 0.69
UK ATL 28085.03 31.33 = 28085.03 N/A N/A 20.54 estimate b 9.34 u > 10.27 - 13.66 4.71 - 8.11 2.10 - 2.22 U2 u good poor bad U2 U2 x U2 = noChange noInfo 22600 b 31.22
BG BLS 1100 61.11 = 1100 N/A N/A 1.70 minimum b 0.42 = 1.70 N/A - N/A N/A - N/A 1.70 - 1.70 XX x poor poor poor U1 U1 = U1 = noChange noChange 600 b 60
RO BLS 700 38.89 + 100 700 N/A interval b 99.58 + 500 - 700 50 - 150 N/A - 50 FV = good good good FV FV + FV N/A knowledge knowledge 400 b 40
EE BOR 2300 15.53 = N/A N/A 3 estimate c 35.55 = 3 - 3 N/A - N/A N/A - N/A FV u good unk good FV FV = FV N/A noChange noChange 1600 d 16.16
LV BOR 806 5.44 = N/A N/A 0.64 estimate a 7.58 = 0.06 - 0.06 0.13 - 0.13 N/A - N/A U1 u good good poor U1 U1 = U1 = knowledge knowledge 1400 a 14.14
SE BOR 11700 79.02 = 11700 N/A N/A 4.80 estimate b 56.87 = 4.80 2 - 3 2 - 3 N/A - N/A U2 - good good bad U2 U2 - U2 - noChange noChange 6900 a 69.70
BG CON 100 0.23 = 100 N/A N/A 0.11 minimum b 0.03 = 0.11 N/A - N/A N/A - N/A 0.11 - 0.11 XX x poor poor poor U1 U1 x U1 = method method 100 b 0.47
DE CON 8515 19.28 = 8515 0.49 1.90 0.67 estimate b 0.20 = > 0.62 - 0.64 0.02 - 0.04 N/A - 1.23 FV = good poor good U1 U1 = U1 = noChange noChange 2200 b 10.23
DK CON 16810 38.06 = N/A N/A 9.38 estimate b 2.76 u > 9.37 - 9.37 0.01 - 0.01 N/A - N/A FV x good poor good U1 U1 x U1 x N/A N/A 6600 b 30.70
FR CON 600 1.36 = > N/A N/A N/A minimum b 0 - > 0.03 - 0.10 0.02 - 0.10 0.05 - 0.10 U1 - unk poor poor U1 U1 - U1 = noChange noChange 600 a 2.79
IT CON 7200 16.30 + > 22.38 29.95 N/A estimate b 7.71 + > 9.98 - 9.98 4.45 - 4.45 0.25 - 0.25 U1 = poor poor poor U1 U1 = U1 = noChange noChange 5000 b 23.26
PL CON 700 1.59 = N/A N/A 0 estimate b 0 = 0 - 0 0 - 0 N/A - N/A U2 = poor poor bad U2 U2 = U2 = noChange noChange 500 b 2.33
RO CON 300 0.68 = 300 300 N/A interval b 88.35 = 200 - 300 N/A - 100 N/A - 50 FV = good good good FV FV = FV N/A noChange noChange 300 b 1.40
SE CON 9700 21.96 = 9700 N/A N/A 2.62 estimate b 0.77 = 2.62 1 - 1.50 1 - 1.50 N/A - N/A U2 - good good bad U2 U2 - U2 - noChange noChange 5900 a 27.44
SI CON 238 0.54 = 238 N/A N/A 0.60 estimate b 0.18 = 0.60 0.60 - 0.60 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 b 1.40
CY MED 87 0.11 - N/A N/A 2.65 estimate b 1.44 - x 1.52 - 1.52 1.14 - 1.14 N/A - N/A U2 - poor bad poor U2 U2 - FV N/A knowledge knowledge 600 b 0.71
ES MED 34200 41.64 - x N/A N/A 56.53 minimum b 30.67 = x 36.94 - 36.94 6.81 - 6.81 12.79 - 12.79 U1 - unk poor unk XX U1 - XX N/A knowledge knowledge 33700 b 39.83
FR MED 6600 8.04 = x 4 15 N/A estimate c 5.15 - x N/A - N/A N/A - N/A 4 - 15 U1 = good poor good U1 U1 - U2 - genuine noChange 6700 a 7.92
GR MED 1748 2.13 = N/A N/A 69.36 estimate b 37.63 = > 62.42 - 62.42 N/A - N/A 6.94 - 6.94 FV = good poor good FV U1 = U1 = noChange noChange 16700 b 19.74
HR MED 5100 6.21 = > 0.64 2.34 N/A estimate a 0.81 u > 1.73 - 1.73 N/A - N/A 0.61 - 0.61 XX u poor poor good U1 U1 x N/A N/A noChange noChange 5000 a 5.91
IT MED 29800 36.28 + 28.46 61.05 N/A estimate b 24.28 - > 43.26 - 43.26 0.64 - 0.64 2.74 - 2.74 U1 = poor poor poor U1 U1 = U1 = noChange noChange 17200 b 20.33
MT MED 4 0 = > N/A N/A 0.01 estimate a 0.01 = > 0.01 - 0.01 0 - 0 N/A - N/A U1 = poor poor poor U1 U1 = U1 = method noChange 300 a 0.35
PT MED 4600 5.60 = N/A N/A N/A d 0 - N/A - N/A N/A - N/A N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 4400 c 5.20
RO STE 600 100 = 400 600 N/A interval b 100 = 400 - 500 50 - 200 N/A - 50 FV = good good good FV FV = FV N/A noChange noChange 900 b 100
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 Region Surface Status
Range
Trend FRR Min Max Best value Status
Area
Trend FRA Good Not good Not known Status Str.
& funct.
Trend Range
prosp.
Area
prosp.
S & f
prosp.
Status
Future
prosp.
Curr. CS Curr. CS
trend
2012 CS 2012 CS
trend
Status
Nat.
of ch.
CS trend
Nat. of ch.
2001-06 status
with
backcasting
Target 1
EU28 BLS 1800 0EQ + ≈ 1800 101.70 701.70 1.70 0EQ + ≈ 401.7 500.00 | 700.00 | 600.00 50.00 | 150.00 | 200.00 1.7 | 51.7 | 26.7 2GD x good good unk 2GD MTX + U1 = nc nong U1 B1

04/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ATL 89644.03 1 = > 89644.03 217.69 221.95 219.82 1 x > 219.8 191.06 | 196.66 | 193.86 17.22 | 22.79 | 20.01 5.50 | 6.02 | 5.76 2XA x good poor unk 2XA MTX x U2 - nong nong U2 D

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 44163 1 = > 44163 335.58 344.56 339.54 2XA + > 339.54 221.60 | 322.20 | 271.90 5.51 | 106.11 | 55.81 0.42 | 51.70 | 26.06 2XA = good poor poor 2XA MTX - U1 = nc nong U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 82139 1 = > 82139 161.65 206.94 184.30 2GD - > 184.30 145.88 | 145.88 | 145.88 8.59 | 8.59 | 8.59 27.08 | 38.08 | 32.58 2GD - good unk poor 2GD MTX - XX - nong nc U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 600 0MS = ≈ 600 400 600 500 0MS = ≈ 500 400.00 | 500.00 | 450.00 50.00 | 200.00 | 125.00 0 | 50.00 | 25.00 0MS = good good good 0MS MTX = FV = nc nc FV A=

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 14806 0EQ = ≈ 14806 8.44 8.44 8.44 1 = ≈ 8.44 5.06 | 6.06 | 5.56 2.13 | 3.13 | 2.63 0 | 0 | 0 2XA - good good bad 2XA MTX - U1 - nong nc U1 C

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
The current dataset is readonly, so you cannot add a conclusion.

Legal notice: A minimum amount of personal data (including cases of submitted comments during the public consultation) is stored in the web tool. These data are necessary for the functioning of the tool and are only accessible to tool administrators.

The distribution data for France (2013 – 2018 reporting) were corrected after the official submission of the Article 17 reports by France. The maps displayed via this web tool take into account these corrections, while the values under Distribution area (km2) used for the EU biogeographical assessment are based on the original Article 17 report submitted by France. More details are provided in the feedback part of the reporting envelope on CDR.